My summer 2020 internship was with IQTLabs where I was advised by Dr. Nina Lopatina. For my project, I created a narrative & claim-mapping visualization tool (currently in prototype) to enable “information epidemiology,” using a data set of tweets with misleading claims about COVID-19. We wanted to map tweets relating to specific claims or narratives in geographic and “left/right” space, as well as time. This enables us to visualize the lifecycle of a claim or narrative: when and where did a narrative originate, how did it propagate, and is it still active? We were also interested in seeing which narratives or claims become politicized over time. Read further to see how we made the dataset as well as how you can use this open source visualization with your own data!
Accurately calculating the flexibility of a patient undergoing physical therapy is a difficult task and results in inconsistent measurements. Flexibility and ability to do certain tasks are parameters used to determine the patient's progress in therapy and training. To achieve a consistent and accurate reading on ones’ flexibility, specifically for a patient's torso, computer vision techniques have been combined with hardware to create a user-friendly application and product for the patients and physical therapists to interact with. This work was presented in October 2020 at ACM ICMI 2020 Face and Gesture Analysis for Health Informatics Workshop. See News section to read the paper!
This research project will be conducted in Manizales, Colombia in May 2021 (due to Coronavirus travel restrictions). This study is to better understand which factors influence how adults in Manizales, Colombia assess and evaluate the public bike sharing system Manizales En Bici.